Outgate AI Gateway sits between your applications and the model providers you use.
Give your team one place to connect providers, route traffic, manage access, enforce limits, apply guardrails, control tools, and monitor usage across production AI workloads.
Connect OpenAI, Anthropic, Ollama-compatible services, or your own custom upstream providers. Instead of wiring every application directly to every model API, your teams send traffic through a consistent gateway layer.
Each provider can use stored credentials or forward the caller's own authentication upstream. Endpoints, logging, model discovery, rate limits, token limits, and guardrail policies are all configured from the Console.
Connect OpenAI, Anthropic, Ollama-compatible services, or custom upstream providers behind a consistent gateway layer.
Failover routing for reliability, weighted routing for distribution, and Smart Router for quality, speed, and cost-aware selection.
Create named sub-endpoints under a provider with their own URL, key, request limits, and token budgets for teams, apps, or customers.
Gateway API keys are managed through reusable access policies. Restrict each key to all endpoints in a region or to a specific list of providers and shares.
Hourly and daily request limits or token quotas by hour, day, or month. Prevent runaway usage, separate budgets, stay within plan limits.
Detect and anonymize personal info and credentials before upstream model calls, then restore placeholders on the response path.
Monitor MCP tool usage, allow or deny tools individually or by server, and reduce the tool list sent to the model with Smart Tool Selection.
Per-request logs with metadata, body inspection, latency, token usage, costs. Metrics on volume, errors, percentiles, cache hits, and consumption heatmaps.
Outgate translates between client and provider API flavors in both directions. Claude Code can send Anthropic-shaped messages, Codex can use OpenAI Responses, apps can call Chat Completions, and the gateway still routes the request to the upstream you choose.
Give every application one consistent way to call AI providers, instead of managing provider-specific configuration across many codebases.
Route around provider failures with fallback chains and multiple upstream options.
Apply token and request budgets per provider, share, app, team, or customer.
Detect and anonymize PII and credentials before they reach an upstream model.
See which MCP tools agents are using and control which tools each provider is allowed to call.
Trace requests, inspect responses, compare latency, monitor errors, and attribute token usage or cost to the right source.
Connect a provider, attach a policy, and run every AI request through Outgate Gateway.